Phosphatidylinositol <scp>3‐Kinase</scp> δ Deficiency Protects From Antimyeloperoxidase Vasculitis
Bibliographic record
Abstract
OBJECTIVE: Antineutrophil cytoplasmic antibody-associated vasculitis (AAV) is a systemic autoimmune disease in which glomerulonephritis is an important manifestation. Antibodies against myeloperoxidase (MPO) or proteinase 3 are thought to be important in pathogenesis. Phosphoinositide 3-kinase δ (PI3Kδ) mediates a number of effects in lymphocytes, but its role in myeloid cell responses is less clear. Therefore, this study was undertaken to assess this in a preclinical model of glomerulonephritis induced by the transfer of antibodies to MPO. METHODS: D910A mice with inactive PI3Kδ were compared with wild-type controls. Disease protocols allowed for a comparison of experimental groups in the setting of both mild and more severe disease. Adoptive transfer experiments were performed, with flow cytometric analysis of digested kidneys taken at the end of the experiment. RESULTS: With mild disease, D910A mice had fewer glomerular macrophages, fewer glomerular neutrophils, and reduced albuminuria compared with wild-type controls. With more severe disease, they also had fewer glomerular crescents and lower serum creatinine levels, indicating protection from acute kidney injury. Adoptive transfer experiments showed a defect in the recruitment of D910A monocytes to the diseased kidney. CONCLUSION: Mice with inactive PI3Kδ were protected from anti-MPO vasculitis. This is due to cell intrinsic defect in the recruitment of monocytes to the kidney. These findings suggest that PI3Kδ is a potential therapeutic target in AAV.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".